You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Gaultheria leucocarpa var. yunnanensis for Treating Rheumatoid Arthritis—An Assessment Combining Machine Learning–Guided ADME Properties Prediction, Network Pharmacology, and Pharmacological Assessment
|
|---|---|
| Published in |
Frontiers in Pharmacology, October 2021
|
| DOI | 10.3389/fphar.2021.704040 |
| Pubmed ID | |
| Authors |
Xiuhuan Wang, Youyi Sun, Ling Ling, Xueyang Ren, Xiaoyun Liu, Yu Wang, Ying Dong, Jiamu Ma, Ruolan Song, Axiang Yu, Jing Wei, Qiqi Fan, Miaoxian Guo, Tiantian Zhao, Rina Dao, Gaimei She |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Researcher | 1 | 9% |
| Lecturer | 1 | 9% |
| Student > Doctoral Student | 1 | 9% |
| Other | 0 | 0% |
| Unknown | 6 | 55% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 18% |
| Unspecified | 1 | 9% |
| Chemistry | 1 | 9% |
| Engineering | 1 | 9% |
| Unknown | 6 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 October 2021.
All research outputs
#20,710,927
of 23,310,485 outputs
Outputs from Frontiers in Pharmacology
#10,559
of 16,763 outputs
Outputs of similar age
#357,674
of 433,934 outputs
Outputs of similar age from Frontiers in Pharmacology
#695
of 1,058 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 16,763 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 433,934 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,058 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.